Gender: Male 
Age: 25-34
Nationality: Nigeria
Ethnicity: Black or African American 
Marital status: Single 
First language: English 
Religion: Christian 
Education: Undergraduate degree
Mother's education: High school or below
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 5
Home: Rent 
Employment: Employed part time
Occupation: Technicians and associate professionals (those who apply scientific or artistic concepts and operational methods, e.g. secretaries, fitness workers, lab technicians)
Mother's occupation: Elementary occupations (jobs that involve simple and routine tasks which may require the use of hand-held tools and considerable physical effort)
Father's occupation: Craft related trades workers (those who produce or process foodstuffs, textiles, wooden, metal and other articles, including handicraft goods, and apply specific technical and practical knowledge and skills to construct and maintain buildings)
Hobbies: Exercise;Use social media;Watch sports 
Devices used daily: Laptop;Smartphone 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Dialog technology (e.g. chatbots that communicate with you such as chatGPT) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools they would find useful: Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Speech-to-Text (i.e. a computer transcribing your spoken language to written language) 
Frequency of LLM use: Nearly every day
LLMs used: ChatGPT;Claude;GitHub Copilot;Google Gemini;Snapchat My AI 
LLM use cases: Coding;Translation;Writing (e.g., composing emails);Paraphrasing or finding synonyms;Proofreading/Editing (e.g., grammar, spelling, structure improvements);Solving math or logical problems;Analyze data;Learning (e.g., explaining complex concepts in simple terms);Answering questions about general knowledge;Summarizing long texts 
Contexts of LLM use: Work;Learning;Technical 
Prompt 1: what is environmental cause?
Prompt 2: You can't sign in to this app because it doesn't comply with Google's OAuth 2.0 policy.  If you're the app developer, register the redirect URI in the Google Cloud Console. Request details: redirect_uri=https://yourapp.com/auth/google/callback flowName=GeneralOAuthFlow Fix this error
Prompt 3: make a http call to  https://www.googleapis.com/oauth2/v3/userinfo  using bearer accessToken of code to get the user details  log the response   if the request is successful, return success  c#
Prompt 4: How do you pass environment variables from server side to client side nextjs
Prompt 5: Yarn install error: Yarn command finished with a non-zero exit code: exit status: 1 Timer: Builder ran for 10.197213416s and ended at 2024-12-11T10:05:21Z ERROR: failed to build: exit status 1  Fix
Prompt 6: Participate in system architecture design Deploy application and set up CICD pipeline on AWS and Modal (Serverless) Integrate with OpenAI (ChatGPT) API to categorize commercial real estate line items and generate analysis accordingly Interfaced with Microsoft Graph API Work on the reactive frontend using NextJS and Backend API using NestJS. - Achievements Deployed a C# Excel WebAssembly to manipulate Excel Spreadsheets Integrated with Microsoft document intelligence to extract information from PDF file. Worked on data extraction from PDF using OCR and ML technology Wrote an algorithm to combine unique tables extracted from a PDF using the OCR engine Fine-tune Llama 3.0 for commercial real estate Build an AI agent to screen commercial real estate deals using Langgraph and zep for long term memory in less than 3 months. Integrate datadog for monitoring and log streaming.  Rewrite this in paragraph format
Prompt 7: patch vs put request
Prompt 8: how much penalty in pounds can the UK tax authority impose on a business that has an outstanding tax of 2500 pounds
Prompt 9: Write a three paragraph to decline borrowing Demitri my usb cord
Prompt 10: test s3 upload credentials
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